Enterprise Data Engineer

Trustmark Bank

$90K — $110K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Data or Computer Science, or equivalent certification.
  • 4 years of experience with modern ETL platforms like IBM Datastage, Informatica, Snowpipe, Azure, or AWS.
  • Strong knowledge of relational databases and data modeling concepts.
  • Moderate to advanced proficiency in SQL and Python.
  • Ability to perform work independently and in a team environment.

Responsibilities

  • Build and maintain complex data systems and infrastructures.
  • Evolve and scale infrastructure for data ingestion and processing.
  • Design and implement mathematical/statistical models for data classification.
  • Leverage existing infrastructure to fulfill data requests and perform housekeeping activities.
  • Design and implement natural language processing software modules.

Benefits

  • Flexible work hours.
  • Opportunities for professional development and certifications.
  • Collaborative and innovative working environment.
Full Job Description
Overview

The purpose of this position is to design, evaluate, assemble, and test data infrastructures to meet business requirements.

Responsibilities

  • Builds and maintains complex systems and infrastructures that collect and process data according to company needs and goals.
  • Builds, evolves, and scales out infrastructure to ingest, process and extract meaning from data.
  • Designs, develops, and implements mathematical or statistical models to carry out various novel aspects of classification and information extraction from data.
  • Leverages existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes. Analyzes data to spot anomalies, trends, and correlate similar data sets.
  • Designs, develops, and implements natural language processing software modules.
  • Uses advanced techniques, theories, and processes to troubleshoots problems, identifies possible solutions, and resolves accordingly.
  • Associates are expected to perform all additional duties as assigned.


Qualifications

  • Bachelor's degree in Data or Computer Science, or equivalent certification.
  • 4 years of experience with modern ETL platforms, such as IBM Datastage, Informatica, Snowpipe, Azure, AWS, etc.
  • Strong knowledge of relational databases, data warehousing and data modeling concepts
  • Moderate to advanced proficiency in database languages such as SQL, Python, etc.
  • Use of advanced techniques, theories, and processes to complete work
  • Competency and capability to perform work independently, and in team environment
  • Oral and written communication skills
  • Advanced computer skills
  • Technical expertise with data warehouse tools
  • Analytical thinking skills
  • Problem-solving skills
  • Master's degree relevant to data or computer sciences or equivalent certification preferred.

Physical Requirements/Working Conditions: Must be able to sit for long periods of time and use computer keyboard and/or mouse, while viewing computer screens.

Disclaimer: Management retains the right to add, delete or modify the responsibilities and qualifications of the position at any time.

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